Path: utzoo!utgpu!water!watmath!clyde!att!rutgers!ucsd!sdcsvax!beowulf!demers
From: demers@beowulf.ucsd.edu (David E Demers)
Newsgroups: comp.ai.neural-nets
Subject: Re: ART source readings?
Message-ID: <5413@sdcsvax.UCSD.EDU>
Date: 23 Oct 88 00:58:04 GMT
References: <4786@thorin.cs.unc.edu>
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In article <4786@thorin.cs.unc.edu> symon@lhotse.cs.unc.edu (James Symon) writes:
>Could someone please email (or otherwise send) me references to the
>basic papers, books, whatever about Grossberg's ART? 
>
>With great appreciation,
>
>				Jim Symon
>				Rt 4 Box 443
>				Chapel Hill, NC 27516
>at school:
>
>Jim Symon
>Chapel Hill, NC  27599-3175
>
>UUCP:  uunet!mcnc!unc!symon		 
>UUCP: decvax!mcnc!unc!symon     	 
>Internet:symon@cs.unc.edu			
>
I thought I'd post my response because it may be of wide interest.

Perhaps the best place to start on ART would be a couple of papers
from ICNN-87, found in the proceedings:

Carpenter & Grossberg, ART 2: Self-Organization of stable category
recognition codes for analog input patterns.

Carpenter & Grossberg, Invariant pattern recognition and recall by
an attentive self-organizing ART architecture in a nonstationary world.

as well as some other papers from the same session.

For the beginnings, I think

Grossberg, Adaptive pattern classification and universal recoding, 
II: Feedback, expectation, olfaction and illusions. in Biological
Cybernetics, 23, (1976) 187-202. 

is a good paper showing the underpinnings of ART.  I think that this
paper is reprinted in the collection of seminal works put together
by James Anderson, Neurocomputing: Foundations of Research.  MIT 
Press, 1988.

The bibliography at the end of the first two papers, above, will give
you some more to look at.

*Personal caveat*  I think Grossberg's work is very important, however,
it takes a long time to read his papers.  They are pithy...

Dave DeMers
UCSD Dept. of Computer Science & Engineering
La Jolla, CA 92093
(619) 534-6254

demers@cs.ucsd.edu